Collaborating Authors

Virtual Environments: An Agent-Based Approach

AAAI Conferences

This paper describes research focused on the design of an agent-based virtual environment architecture that allows developers to create applications that can ease the burden of interfacing to complex systems. We are concerned with designing an architecture that supports applications that can integrate multiple, heterogeneous systems into one consistent user interface and to function as a collaborative tool so that concurrent users can share information, expertise, and resources. At the heart of our architecture is a Virtual Environment CORBA Facility. This facility provides an improved method of distribution and most importantly, explicitly supports the integration of information from external systems and provides a method for interacting with those systems by using the virtual environment as a user interface. What we present in this paper is a method from representing and distributing a virtual environment so that it can support advanced agent functionality. The nature of that functionality is ultimately left to the discretion of virtual environment developers. We have developed a granular, object-oriented representation for virtual environments that allows developers to incorporate agent technology into a web-based distributed virtual environment.

Visual Programming Agents for Virtual Environments

AAAI Conferences

As virtual reality systems become more commonplace the need for VR applications will increase. Agents are typically used to populate VR environments with autonomous creatures. Although systems exists incorporating agent and virtual environments, few support programming tools for specifying agent behavior. The paper presents the design of a system called HAVEN which uses a visual programming language to allow programmers to specify agent behavior from within a virtual environment. The system allows users to specify by example agent actions from low-level movement to higher level reactive rules and plans. Other details about the overall design of the system are also presented.

What is Agent Augmentation in a Contact Centre? - UC Today


Data leads to better experiences. In today's chaotic consumer landscape, businesses are dealing with endless customers who demand more personalised, relevant, and engaging experiences. They don't want one-size-fits-all interactions; they want the advisers that they deal with to understand who they are and what they need from the moment that they pick up the phone. Obviously, delivering the kind of experiences that customers want would be in possible in a traditional legacy contact centre. However, today, artificial intelligence and automation are beginning to unlock new opportunities for the modern adviser.

Understanding the key differences between chatbots and virtual agents


The differences between a virtual agent and a chatbot are actually bigger than you might think. To help distinguish between the two technologies, it's helpful to draw a parallel with another popular technology--the smartphone. When it comes to understanding the difference between chatbots and virtual agents, there are parallels to the evolution of a technology that has evolved significantly and is not referred to differently than it used to be--the smartphone. Fewer and fewer people regularly use the words'telephone' and'smartphone' interchangeably anymore, primarily because they are technically and functionally referring to two very different devices. Both a phone and a smartphone can be used to make calls, but that's where the similarities stop.

Watson Virtual Agent, a cognitive, conversational self-service engine


IBM Watson Virtual Agent is a set of preconfigured cognitive components based on the IBM Watson Conversation service. By configuring the virtual agent with your company's information, you can quickly implement an automated chat bot that enables your customers to achieve their goals. The established model of creating a digital or virtual agent requires experienced developers with a highly specific skill set to create complex systems that rely on custom – and often cumbersome – rules. Watson Virtual Agent allows businesses to simply build and deploy conversational agents. Watson Virtual Agent helps accelerate users' ability to deploy bots, including pre-trained cross-industry content, with minimal configuration, simplifying the process for both seasoned developers or users without formal technical training.